Machine learning has emerged as an effective approach for developing predictive models for high-throughput screening of materials 1,2,3,4,5,6,7,8. For example, machine-learned models for formation ...

Invariance. A representation not respecting all the symmetries of the system (non-invariant) requires more training data because the model must learn through the output what was incorrectly fed to the ...

Machine learning models energy release during heavy-element formation, enabling faster simulations of neutron star mergers and kilonova signals.

In a state known for its tornadoes, a team of scientists at the University of Oklahoma is working to better understand their formation. By utilizing machine learning tools, the researchers aim to gain ...